--- title: "spring-ai-alibaba vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-spring-ai-alibaba-vs-pguso-agents-from-scratch" tools: ["alibaba-spring-ai-alibaba", "pguso-agents-from-scratch"] --- # spring-ai-alibaba vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick spring-ai-alibaba if spring AI Alibaba offers Java developers advanced capabilities for agentic, workflow-oriented development with multimodal support including voice interaction and context engineering; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [spring-ai-alibaba](https://java2ai.com) reports 11k GitHub stars, 2.4k forks, and 164 open issues, last pushed Aug 25, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 1.0k stars, 251 forks, and 4 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [spring-ai-alibaba's repository](https://github.com/alibaba/spring-ai-alibaba) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [spring-ai-alibaba](/tools/alibaba-spring-ai-alibaba.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | A production-ready framework for building Agentic, Workflow, and Multi-agent applications | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 10,847 | 1,017 | | Forks | 2,408 | 251 | | Open issues | 164 | 4 | | Language | Java | Python | | Adopt for | Spring AI Alibaba offers Java developers advanced capabilities for agentic, workflow-oriented development with multimodal support including voice interaction and context engineering. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [spring-ai-alibaba](/tools/alibaba-spring-ai-alibaba.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 19d | 56d | | Open issues (now) | 164 | 4 | | Stars delta | +304 (30d) | +63 (30d) | | Open issues delta | +5 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/alibaba-spring-ai-alibaba/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: spring-ai-alibaba - **Adopt for:** Spring AI Alibaba offers Java developers advanced capabilities for agentic, workflow-oriented development with multimodal support including voice interaction and context engineering. ## Decision facts: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose spring-ai-alibaba if… - spring-ai-alibaba is primarily Java; agents-from-scratch is Python. - License: spring-ai-alibaba is Apache-2.0, agents-from-scratch is MIT. - Tags unique to spring-ai-alibaba: agentic, context-engineering, multi-agent, workflow. - When developing complex agentic applications requiring multimodal interaction and sophisticated task orchestration in a Java environment ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; spring-ai-alibaba is Java. - License: agents-from-scratch is MIT, spring-ai-alibaba is Apache-2.0. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## When NOT to use spring-ai-alibaba - If your project strictly uses non-Java languages or requires lightweight, minimalistic frameworks without deep integration options - When the application does not require multimodal support like audio generation or real-time voice interaction features ## When NOT to use agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between spring-ai-alibaba and agents-from-scratch? spring-ai-alibaba: A production-ready framework for building Agentic, Workflow, and Multi-agent applications. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose spring-ai-alibaba over agents-from-scratch? Choose spring-ai-alibaba over agents-from-scratch when spring-ai-alibaba is primarily Java; agents-from-scratch is Python; License: spring-ai-alibaba is Apache-2.0, agents-from-scratch is MIT; Tags unique to spring-ai-alibaba: agentic, context-engineering, multi-agent, workflow; When developing complex agentic applications requiring multimodal interaction and sophisticated task orchestration in a Java environment. ### When should I choose agents-from-scratch over spring-ai-alibaba? Choose agents-from-scratch over spring-ai-alibaba when agents-from-scratch is primarily Python; spring-ai-alibaba is Java; License: agents-from-scratch is MIT, spring-ai-alibaba is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### When should I avoid spring-ai-alibaba? If your project strictly uses non-Java languages or requires lightweight, minimalistic frameworks without deep integration options When the application does not require multimodal support like audio generation or real-time voice interaction features ### When should I avoid agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is spring-ai-alibaba or agents-from-scratch more popular on GitHub? spring-ai-alibaba has more GitHub stars (10,847 vs 1,017). Stars measure visibility, not whether either tool fits your constraints. ### Are spring-ai-alibaba and agents-from-scratch open source? Yes - both are open-source projects on GitHub (spring-ai-alibaba: Apache-2.0, agents-from-scratch: MIT). ### Where can I find alternatives to spring-ai-alibaba or agents-from-scratch? GraphCanon lists graph-backed alternatives at [spring-ai-alibaba alternatives](/tools/alibaba-spring-ai-alibaba/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([spring-ai-alibaba markdown twin](/tools/alibaba-spring-ai-alibaba/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/alibaba-spring-ai-alibaba-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, spring-ai-alibaba or agents-from-scratch? spring-ai-alibaba: Active. agents-from-scratch: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for spring-ai-alibaba and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [spring-ai-alibaba trust report](/tools/alibaba-spring-ai-alibaba/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaba-spring-ai-alibaba`](/api/graphcanon/graph?tool=alibaba-spring-ai-alibaba) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_